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A search for WeChat public accounts related to medical device CDMO and CRO categorised by regulatory interpretation and other content

  • Why this server?

    This server can extract structured data from unstructured web content, which can be used to get content from WeChat official accounts.

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    A server that provides AgentQL's data extraction capabilities enabling AI agents to get structured data from unstructured web
    Last updated -
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    167
    56
    JavaScript
    MIT License
    • Apple
    • Linux
  • Why this server?

    This server enables AI agents to interact with web resources and file systems, which could be useful for accessing and processing WeChat official account data if the content is exposed through a website.

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    A comprehensive Model Context Protocol server implementation that enables AI assistants to interact with file systems, databases, GitHub repositories, web resources, and system tools while maintaining security and control.
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    TypeScript
  • Why this server?

    This server enables AI agents to interact with web browsers, allowing automated browsing of WeChat official accounts if they are accessible via web, and extracting the content.

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    Enables AI agents to interact with web browsers using natural language, featuring automated browsing, form filling, vision-based element detection, and structured JSON responses for systematic browser control.
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    38
    Python
    • Linux
    • Apple
  • Why this server?

    This server integrates with FireCrawl for advanced web scraping capabilities which could be useful for extracting information from WeChat official accounts that have web-accessible content.

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    A Model Context Protocol (MCP) server implementation that integrates with FireCrawl for advanced web scraping capabilities.
    Last updated -
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    15,275
    2,745
    JavaScript
    MIT License
    • Apple
    • Linux
  • Why this server?

    This server can fetch web content from WeChat official accounts and allows for further processing with Python.

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    An MCP server for fetching and transforming web content into various formats.
    Last updated -
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    Python
    MIT License
    • Apple
  • Why this server?

    This server is designed to analyze web content under your direction or autonomously, extracting insights from your web content.

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    Bridge the gap between your web crawl and AI language models. With mcp-server-webcrawl, your AI client filters and analyzes web content under your direction or autonomously, extracting insights from your web content. Supports WARC, wget, InterroBot, Katana, and SiteOne crawlers.
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    Python
    • Apple
  • Why this server?

    This server delivers higher quality information than standard search tools by exploring and validating numerous trusted sources.

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    Enhances LLM applications with deep autonomous web research capabilities, delivering higher quality information than standard search tools by exploring and validating numerous trusted sources.
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    65
    Python
    MIT License
    • Apple
  • Why this server?

    Enables web content scanning and analysis by fetching, analyzing, and extracting information from web pages.

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    Enables web content scanning and analysis by fetching, analyzing, and extracting information from web pages using tools like page fetching, link extraction, site crawling, and more.
    Last updated -
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    TypeScript
    MIT License
  • Why this server?

    This server could potentially be adapted or extended to fetch and process content from WeChat official accounts, although it primarily targets Confluence.

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    A model context server that provides prompts that can be used as slash commands for clients like Zed Editor, in order to add page contents as context to the AI assistant.
    Last updated -
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    8
    TypeScript
    MIT License